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» Generating Synthetic Data to Match Data Mining Patterns
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CINQ
2004
Springer
157views Database» more  CINQ 2004»
15 years 7 months ago
Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...
Jean-François Boulicaut
SDM
2009
SIAM
196views Data Mining» more  SDM 2009»
16 years 1 months ago
MultiVis: Content-Based Social Network Exploration through Multi-way Visual Analysis.
With the explosion of social media, scalability becomes a key challenge. There are two main aspects of the problems that arise: 1) data volume: how to manage and analyze huge data...
Ching-Yung Lin, Jimeng Sun, Nan Cao, Shixia Liu, S...
SDM
2008
SIAM
97views Data Mining» more  SDM 2008»
15 years 5 months ago
Efficient Distribution Mining and Classification
We define and solve the problem of "distribution classification", and, in general, "distribution mining". Given n distributions (i.e., clouds) of multi-dimensi...
Yasushi Sakurai, Rosalynn Chong, Lei Li, Christos ...
KDD
2001
ACM
262views Data Mining» more  KDD 2001»
16 years 4 months ago
LOGML: Log Markup Language for Web Usage Mining
Web Usage Mining refers to the discovery of interesting information from user navigational behavior as stored in web access logs. While extracting simple information from web logs...
John R. Punin, Mukkai S. Krishnamoorthy, Mohammed ...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 4 months ago
Co-evolution of social and affiliation networks
In our work, we address the problem of modeling social network generation which explains both link and group formation. Recent studies on social network evolution propose generati...
Elena Zheleva, Hossam Sharara, Lise Getoor